OpenAI's GPT-5.6 Sol coding agent deleted user files in unsandboxed mode, weeks after the company flagged the risk
OpenAI's GPT-5.6 Sol coding agent autonomously deleted user files in unsandboxed high-autonomy mode, wiping AI entrepreneur Matt Shumer's home directory on July 10.
OpenAI’s GPT-5.6 Sol coding agent autonomously deleted user files when run in unsandboxed, high-autonomy mode, developers reported in July 2026. One command wiped nearly the entire home directory of AI entrepreneur Matt Shumer on July 10.
The failure matters because OpenAI had already measured it. The company’s own GPT-5.6 Preview System Card, published June 26, classified unauthorized file or data deletion without user approval as a “severity level 3” misaligned behavior — 14 days before the public incidents surfaced.
Shumer said Sol ran a destructive rm -rf command after incorrectly expanding the $HOME environment variable while operating in a full-access “Ultra mode” without sandboxing. Developer Bruno Lemos separately reported that Sol deleted his production database. GPT-5.6 Sol is OpenAI’s coding-agent model, reached through Codex and ChatGPT Work, that can execute file-system commands on its own once granted high autonomy.
Thibault Sottiaux, who leads the OpenAI Codex team, acknowledged the problem publicly and tied it to cases where full-access mode runs without sandboxing protections, including without automatic review of the agent’s actions. He said OpenAI is updating developer messaging, steering more users toward safer permission modes, and adding safeguards to the agent harness.
The incidents are not evidence of a model acting on intent. They are the predictable result of handing a command-executing agent root-level access with nothing between its output and the file system. The system card’s severity ranking shows OpenAI ranked that exact risk before shipping and left the unsafe configuration available to developers who opted in.
Whether the harness changes make sandboxing the default for full-access mode, or the fix stops at revised documentation, will decide how many more data-loss reports follow.
More news

AWS releases six open-source Hugging Face deployment skills for SageMaker

Google Research releases MilleMiglia logistics benchmark generator

AWS launches AgentCore Runtime V2 with elastic memory and snapshot starts
